• Cover page 

  Applied Sciences, Faculty of (Sabaragamuwa University of Sri Lanka, 2022-04-06)
• Contents 

  Applied Sciences, Faculty of (Sabaragamuwa University of Sri Lanka, 2022-04-06)
• Front Page 

  Applied Sciences, Faculty of (Sabaragamuwa University of Sri Lanka, 2022-04-06)
• Analyzing and Optimizing the Performance of Big Data Platform: A Case Study Based on Apache Hadoop MapReduce Framework 

  Jayamaha, J.H.R.P.; Jayasena, K.P.N. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  Map-reduce is among the most effective and efficient methods to handle many data sets. Different methods and techniques have been presented to map-reduce processes. Largescale data processing and analysis can be performed ...
• Multi-Objective Optimization of Fog-based Remote Healthcare Monitoring System for Covid-19 Patients 

  Hewavithana, L.I.A.; Jayasena, K.P.N. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  With the advent of technology, the healthcare industry has grown increasingly technologically interconnected. Modern technology can rapidly and accurately process millions of health records of patients compared to the ...
• Predictive Autoscaling for Containerized Microservices in Cloud Infrastructure 

  Fernando, W.S.M.; Jayasena, K.P.N. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  Autoscaling ensures that cloud-based applications always have the right amount of resources to control the current traffic demand. Different types of autoscaling methodologies have been used for cloud-hosted containerized ...
• E-wallet for Youth: A Secure and Sustainable System for Financial Transactions 

  Silva, T.S.J De; Vasanthapriyan, S. (Sabaragamuwa University of Sri Lanka, 2022-03-06)

  E-wallet known as electronic wallet is a computer-based information system that makes it easier for users to conduct paperless transactions. E-wallet allows its customers various advantages compared to similar payment ...
• Detecting the Code Clone Density and Measuring the Complexity of Source Code Using SonarQube 

  Vijayanandan, T.; Kumara, B.T.G.S.; Banujan, K. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  In software development, developers often copy and paste the code, with or without modifications. In the software development sector, maintenance accounts for roughly 90% of the software lifetime cost. The concept of ...
• Data Mining-based Landslide Vulnerability Prediction System 

  Dissanayaka, D.M.D.S.K.; Malkanthi, A.M.C. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  Badulla district is situated in a complex physical topography with mountain ranges and small valleys that sees a lot of landslides every year. Main causes for this phenomenon are extreme rainfall, slope aspect, unplanned ...
• Using Twitter Data for Assessing Home Violence During the Covid-19 Pandemic 

  Adeeba, S.; Kumara, B.T.G.S.; Banujan, K. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  The outbreak of COVID-19 has triggered a worldwide health crisis that has influenced how we view the world and live our daily lives. It has resulted in both negative and positive impacts. Home Violence (HV) is one of the ...
• Machine Learning-based Approach for Predicting Covid-19 Deaths 

  Mohamed, I.; Kumara, B.T.G.S.; Banujan, K. (Sabaragamuwa University of Sri Lanka, 2022-03-06)

  Covid-19 is a highly contagious infectious virus that became a pandemic and had a major impact on global public health, resulting in deaths and serious health repercussions. It affects the human body in a variety of ways, ...
• Generative Adversarial Network-based Data Augmentation for Papaya Disease Detection using Deep Learning 

  Kosala, K.; Banujan, K.; Kumara, B.T.G.S.; Kovarthanan, T. (Sabaragamuwa University of Sri Lanka, 2022-03-06)

  Fruit diseases are a severe problem for all farmers, especially for fruit growers. A major challenge for large farms is the spread of diseases that make the fruits unfit for consumption, which also significantly impacts ...
• Identification of the Type of the Respiratory Failure by Analyzing the ABG Test Results Using Machine Learning 

  Kajanan, S.; Kumara, B.T.G.S.; Banujan, K.; Prasanth, S. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  Arterial blood gas (ABG) analysis is crucial for determining oxygenation and blood acid levels. It is essential for identifying the clinical status and contributes to healthcare strategy plans that are both cost-effective ...
• Artificial Neural Network-based Approach to Predict the Soil Fertility 

  Vithujan, A.; Banujan, K.; Kumara, B.T.G.S.; Prasanth, S. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  Agriculture is one of the most important economic sectors in any country. As the world’s population grows, governments increase their crop production every year. In this regard, a wider variety of factors that affect the ...
• Future Prediction and Analysis of Tea Export in Sri Lanka in Terms of Influencing Factors 

  Laveena, R.; Kudagamage, U.P. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  According to figures from the Sri Lanka Tea Board, the amount of tea exported fluctuates greatly depending on the time of the year. Analyzing and predicting tea export based on the type of tea exported would be highly ...
• Face Mask Detection System using Neural Network Architecture 

  ttanayaka, A.M.S.M.C.K.B. A; Malkanthi, A.M.C. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  Face masks are a vital precautionary measure in the fight against the Covid-19 pandemic. This study aims to develop a face mask detection system suitable to deploy on single board computers (SBCs) by comparing the ...
• Identification of a Machine Learning Architecture for Potato Disease Classification Using Leaf Images 

  Gayantha, M.H.; Kithulwatta, W.M.C.J.T.; Rathnayaka, R.M.K.T. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  Agriculture is a vital economic sector for any country. Therefore, improving the agriculture sector properly is much needed; especially computer technology has been widely used for improving the productivity of the ...
• Multilayer Perceptron-based Source Code Classification 

  Mohamed, I.; Kumara, B.T.G.S.; Banujan, K. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  One of the most crucial stages in the software development life cycle is the implementation stage. Source code is the most critical component in a software application. Developers develop new source code from scratch or ...
• Classification of Telecommunication Customers based on Profitability: A Supervised Machine Learning Approach 

  Mishoba, S.; Banujan, K.; Prasanth, S.; Kumara, B.T.G.S. (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  In this modern world the telecommunication industry plays an important role. At the same time, the telecommunication industry is facing a serious problem of losing its potential customers. Customer relationship management ...
• Predicting the Rainfall and Crop Price to Select Suitable Crop: A Case Study in Badulla District 

  Nandasiri, K.P.S.M.; Banujan, K.; Kumara, B.T.G.S.; Jayasinghe, S.; Ekanayake, E.M.U.W.J.P.; Prasanth (Sabaragamuwa University of Sri Lanka, 2022-04-06)

  The agricultural sector is becoming increasingly significant in the global economy. The daily growth of the world population necessitates a high level of crop production and yield rate in order for people to live. However, ...

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